Improving Diagnosis and Clinical Management of Familial Hypercholesterolemia Through Integrated Machine Learning, Implementation Science, and Behavioral Economics
At a glance
Conditions
NCT05746247
Where you'd take part
This study runs at 1 site. They're the same protocol — you choose where, and that choice sets who your contact draft is addressed to.
University of Pennsylvania Health System
Philadelphia, Pennsylvaniano site contact published
Sites open and close at different times, so the status above is per site — it can differ from the study's overall status.
Who to contact
This trial hasn't published a contact. View it on ClinicalTrials.gov
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Inclusion
Exclusion
What this trial measures
- Proportion of flagged patients diagnosed with FH (familial hypercholesterolemia) as a result of the interventionDay 1 - post intervention study visit
Patients will be evaluated for familial hypercholesterolemia (FH), an underdiagnosed genetic type of high cholesterol. An FH diagnosis will be defined using the Dutch Lipid Clinic Network Diagnostic (DLCN) Criteria for FH (Unlikely, Possible, Probable, Definite). The clinician will also make a clinical assessment of FH informed by the DLCN score and clinical expertise from the appointment.